Universal and targeted early home visiting: perspectives of public health nurses, managers and mothers
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Early home visits provided by public health nurses (PHNs) around the world have been proven to positively impact physical, social, emotional and mental health outcomes of mothers and babies. Most of the research has focused on home visiting programs delivered by public health nurses and lay home visitors to support <em>at</em> <em>risk</em> or <em>targeted</em> mothers. Little research has been conducted to examine <em>universal</em> home visiting programs for mothers who are perceived to be lower-risk. The purpose of this research was to explore how universal and targeted early home visiting programs for mothers and babies were organized, delivered and experienced through the everyday practices of PHNs, mothers, and managers in one city in Atlantic Canada. Feminist post-structuralism was used to collect and analyze data through semi-structured face-to-face interviews with 16 PHNs, 16 mothers and 4 managers. Personal, social and institutional discourses of program delivery were examined using discourse analysis. Four main themes of the study include: i) understanding targeted and universal programming; ii) health outcomes; iii) building relationships; and iv) exploring a new surveillance. This article will discuss the first theme; understanding targeted and universal programming.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it